Enterprise-Grade Data Engine

Built for scale, speed, and precision. Our architecture decouples data ingestion from insight generation.

Multi-source ingestion: Simultaneous documents and data acquisition from business registries, PDF reports, corporate websites, and news feeds.
Format agnostic: Direct processing of complex formats including XBRL, scanned PDFs, Excel files, and unstructured HTML.
High concurrency: Scalable parallel processing architecture capable of handling thousands of entities simultaneously.
Multimodal spatial AI: Combined text and vision processing to ensure context- and layout-aware results that distinguish between main text, footnotes, headers, charts and tables.

Zero hallucination: Our architecture enforces strict grounding to the source data corpus, ensuring that every insight generated by AI is derived only from the original documents.
Full traceability: Every data point, insight, or finding is directly linked to its source document, page, and timestamp - ready for audit trail and regulatory review.

Task-specific orchestration: We deploy a use-case dependent cascade of models ranging from vector-based semantic retrieval to fine-tuned extraction models.
Active verification layer: Programmatic validation steps identify low-confidence extractions and re-route tasks to additional reasoning processes or human-in-the-loop flows to ensure the highest output accuracy.

Configurable risk methodologies: Define core assessment principles and fine-tune the sensitivity of risk-scoring algorithms to match your exact risk appetite.
Custom policy mapping: Integrate your proprietary exclusion lists, internal compliance policies, or preferred regulatory frameworks directly into the engine.
Sector-specific rules: Dedicated logic tracks tailored to distinct industries - applying different methodologies, policies, and thresholds for each sector.

100% EU data residency: All data processing, storage and AI inference.
Zero-data-retention AI: Enterprise-grade private LLM instances where your data is processed ephemerally and never used to train external models.
Unified cloud architecture: No fragmented 3rd party sub-processors. Database, processing and logic reside within a single secured Virtual Private Cloud (VPC).
DORA-aligned infrastructure: Our operational resilience and disaster recovery protocols built on Google Cloud's enterprise-grade standards.
End-to-end encryption: AES-256 encryption at rest and TLS 1.2+ for all data in transit.

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